Adaptive residual subsampling methods for radial basis function interpolation and collocation problems

  • Authors:
  • Tobin A. Driscoll;Alfa R. H. Heryudono

  • Affiliations:
  • Department of Mathematical Sciences, University of Delaware, Newark, DE, 19716, United States;Department of Mathematical Sciences, University of Delaware, Newark, DE, 19716, United States

  • Venue:
  • Computers & Mathematics with Applications
  • Year:
  • 2007

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Abstract

We construct a new adaptive algorithm for radial basis functions (RBFs) method applied to interpolation, boundary-value, and initial-boundary-value problems with localized features. Nodes can be added and removed based on residuals evaluated at a finer point set. We also adapt the shape parameters of RBFs based on the node spacings to prevent the growth of the conditioning of the interpolation matrix. The performance of the method is shown in numerical examples in one and two space dimensions with nontrivial domains.